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	<title>DataHub &#8211; Noise</title>
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		<title>Deploy DataHub using AWS managed services and ingest metadata from AWS Glue and Amazon Redshift – Part 2</title>
		<link>https://noise.getoto.net/2022/10/25/deploy-datahub-using-aws-managed-services-and-ingest-metadata-from-aws-glue-and-amazon-redshift-part-2/</link>
		
		<dc:creator><![CDATA[Corvus Lee]]></dc:creator>
		<pubDate>Tue, 25 Oct 2022 16:22:18 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[data governance]]></category>
		<category><![CDATA[DataHub]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[metadata management]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In the first post of this series, we discussed the need of a metadata management solution for organizations. We used DataHub as an open-source metadata platform for metadata management and deployed it using AWS managed services with the AWS Cloud Development Kit (AWS CDK). In this post, we focus on how to populate technical metadata […]]]></description>
		
		
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		<title>Deploy DataHub using AWS managed services and ingest metadata from AWS Glue and Amazon Redshift – Part 1</title>
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		<dc:creator><![CDATA[Debadatta Mohapatra]]></dc:creator>
		<pubDate>Tue, 25 Oct 2022 16:20:31 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[data governance]]></category>
		<category><![CDATA[DataHub]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[metadata management]]></category>
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					<description><![CDATA[Many organizations are establishing enterprise data warehouses, data lakes, or a modern data architecture on AWS to build data-driven products. As the organization grows, the number of publishers and subscribers to data and the volume of data keeps increasing. Additionally, different varieties of datasets are introduced (structured, semistructured, and unstructured). This can lead to metadata […]]]></description>
		
		
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